Evidence map›Paper›PMID 29342650›Full record

ArticleThe Behavioral and brain sciences2017

Computational foundations of the visual number sense.

Ivilin Peev Stoianov, Marco Zorzi

Abstract readComment
PubMed Publisher
In one paragraph

Article in The Behavioral and brain sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. An emergentist perspective on the origin of number sense.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Ivilin Peev StoianovInstitute of Cognitive Sciences and Technologies,CNR,35137 Padova,Italyivilin.stoianov@istc.cnr.it.
Marco ZorziDepartment of General Psychology,University of Padova,35131 Padova,Italymarco.zorzi@unipd.ithttp://ccnl.psy.unipd.it/.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We provide an emergentist perspective on the computational mechanism underlying numerosity perception, its development, and the role of inhibition, based on our deep neural network model. We argue that the influence of continuous visual properties does not challenge the notion of number sense, but reveals limit conditions for the computation that yields invariance in numerosity perception. Alternative accounts should be formalized in a computational model.

Indexed as

CognitionVisual Perception

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.